ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 1 (100%) | 4.50 |
| 10-30% | 0 (0%) | N/A |
| 30-50% | 0 (0%) | N/A |
| 50-70% | 0 (0%) | N/A |
| 70-90% | 0 (0%) | N/A |
| 90-100% | 0 (0%) | N/A |
| Total | 1 (100%) | 4.50 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| The Blind Spot of LLM Security: Time-Sensitive Backdoors Activated by Inherent Features | With the widespread adoption of Large Language Models (LLMs), backdoor attacks against pre-trained LLMs have become a notable security issue. Without control over end-user inputs, the trigger conditio... | 4.50 | 4% | See Reviews | View AI Dashboard |